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Software is has been developed and available for licensing that fully automates image processing for the quantification of myocardial blood flow (MBF) pixel maps from firstpass contrast-enhanced cardiac magnetic resonance (CMR) perfusion images. The system removes the need for laborious manual quantitative CMR perfusion pixel map processing and can process prospective and retrospective studies acquired from various imaging protocols. In full automation, arterial input function (AIF) images are processed for motion correction and myocardial perfusion images are corrected for intensity bias.

With respect to quantification of metabolites in the brain, conventional methods of magnetic resonance spectroscopy (MRS) yield results that are highly variable and highly dependent on the sequence type being applied. This invention describes a novel MRS technique that involves preparing longitudinal steady states at different flip angles using trains of RF pulses interspersed with field gradients to quantify metabolites.

The molecular imaging technique of positron emission tomography (PET) is an increasingly important tool in biomedical research and in drug discovery and development. Many small molecule drugs and potential PET radiotracers carry trifluoromethyl (CF₃) groups. Because CF₃ groups are generally considered to be metabolically stable, there is a strong interest in developing drugs with these groups.

This invention is a novel statistical method for automatically detecting lesions in cross-sectional brain magnetic resonance imaging (MRI) studies. OASIS uses multimodal MRI from one image acquisition session and produces voxel-level probability maps of the brain that quantifies the likelihood that each voxel is part of a lesion. Binary lesion segmentations are created from these probability maps using a validated population-level threshold. In this application, fluid attenuated inversion recovery (FLAIR), proton density (PD), T2-weighted, and Tl-weighted volumes were used.

Scientists at NCATS have developed a novel Cellular Thermal Shift Assay (CETSA), named “Real-time CETSA” in which temperature-induced aggregation of proteins can be monitored in cells in real time across a range of compound concentrations and simultaneously across a temperature gradient in a high-throughput manner. Real-time CETSA streamlines the thermal shift assay and allows investigators to capture full aggregation profiles for every sample.

This technology includes a novel computational algorithm and software implementation to map and display biological pathways and their relationship on the surface of a globe in a three-dimensional space. Currently, biological pathways and genes are represented as two-dimensional networks, which is not effective for displaying complicated relationships between pathways and genes.

This technology includes a group of radioligands that label inflammatory cells specifically, accurately, and across different genotypes and can be detected using Positron Emission Tomography (PET). The radioligands target the Translocator protein 18 kDa (TSPO) receptor which is present on the outer mitochondrial membrane and is involved in the production of steroids. Current TSPO radioligands either lack specificity or have highly variable inter-subject sensitivities due to TSPO genotypic differences.

This technology includes a group of radioligands that label inflammatory cells specifically, accurately, and across different genotypes and can be detected using Positron Emission Tomography (PET). The radioligands target the Translocator protein 18 kDa (TSPO) receptor which is present on the outer mitochondrial membrane and is involved in the production of steroids. Current TSPO radioligands either lack specificity or have highly variable inter-subject sensitivities due to TSPO genotypic differences.

This technology relates to a software package called NIMH DAO Toolbox that uses multithreading and a unique buffer structure to shorten gaps in sample readouts. Data acquisition devices running in continuous sampling mode collect data samples at a given sampling rate. The samples are typically stored in a memory buffer and read out at a regular interval. If the sampling rate is short enough, there can be a gap between the time the first sample is acquired and the time that sample is available to the user. This gap is typically on the order of tens of milliseconds.

This technology relates to a closed-loop controller that is being developed as a phone app for emotional self-regulation in real-time. There is a significant association between emotion dysregulation and symptoms of depression, anxiety, eating pathology, and substance abuse, affecting millions worldwide. Consisting of a closed-loop controller that adjusts reward values in real-time according to individual mood response, the Mood Machine Interface technology compensates for adaptation to stimuli over time allowing it to generate substantial mood changes in the user.